M. Dyballa. Dataset, (2023)Related to: Schnierle, M.; Klostermann, S.; Kaya, E.; Li, Z.; Dittmann, D.; Rieg, C.; Estes, D. P.; Kästner, J.; Ringenberg, M. R.; Dyballa, M., How Solid Surfaces Control Stability and Interactions of Supported Cationic CuI(dppf) Complexes - A Solid-State NMR Study. Inorganic Chemistry 2023, 62, 19. doi: 10.1021/acs.inorgchem.3c00351.
A. Forslund, J. Jung, P. Srinivasan, and B. Grabowski. Dataset, (2023)Related to: A. Forslund, J. H. Jung, P. Srinivasan, and B. Grabowski, Thermodynamic properties on the homologous temperature scale from direct upsampling: Understanding electron-vibration coupling and thermal vacancies in bcc refractory metals, Phys. Rev. B 107, 174309 (2023). doi: 10.1103/PhysRevB.107.174309.
A. Beurer, S. Dieterich, H. Solodenko, E. Kaya, N. Merdanoǧlu, G. Schmitz, Y. Traa, and J. Bruckner. Dataset, (2023)Related to: Ann-Katrin Beurer, Sonja Dieterich, Helena Solodenko, Elif Kaya, Naǧme Merdanoǧlu, Guido Schmitz, Yvonne Traa, Johanna R. Bruckner, "Comparative study of lattice parameter and pore size of ordered mesoporous silica materials using physisorption, SAXS measurements and transmission electron microscopy", Microporous and Mesoporous Materials, Volume 354, 15 April 2023, 112508. doi: 10.1016/j.micromeso.2023.112508.
M. Dyballa. Dataset, (2023)Related to: Daniel Dittmann, Carolin Rieg, Zheng Li, Elif Kaya, and Michael Dyballa. Better Performance in C2-Conversion to Aromatics by Optimized Feed and Catalysts.Energy & Fuels 2023 37 (6), 4566-4579. doi: 10.1021/acs.energyfuels.3c00356.
A. Jeltsch, P. Bashtrykov, and S. Adam. Dataset, (2023)Related to: Sabrina Adam, Viviane Klingel, Nicole E Radde, Pavel Bashtrykov, Albert Jeltsch (2023) On the accuracy of the epigenetic copy machine: comprehensive specificity analysis of the DNMT1 DNA methyltransferase. Nucleic Acids Research, gkad465. doi: 10.1093/nar/gkad465.
D. Holzmüller, V. Zaverkin, J. Kästner, and I. Steinwart. Software, (2023)Related to: David Holzmüller, Viktor Zaverkin, Johannes Kästner, and Ingo Steinwart. A Framework and Benchmark for Deep Batch Active Learning for Regression, 2023. arXiv: 2203.09410.
A. Jeltsch, P. Schnee, M. Khella, S. Weirich, J. Pleiss, and P. Bashtrykov. Software, (2023)Related to: Mina S. Khella, Philipp Schnee, Sara Weirich, Tan Bui, Alexander Bröhm, Pavel Bashtrykov, Jürgen Pleiss, Albert Jeltsch: The T1150A cancer mutant of the protein lysine methyltransferase NSD2 can introduce H3K36 trimethylation. J Biol Chem, 2023, 5, 104796. doi: 10.1016/j.jbc.2023.104796.
V. Zaverkin, D. Holzmüller, L. Bonfirraro, and J. Kästner. Dataset, (2023)Related to: Viktor Zaverkin, David Holzmüller, Luca Bonfirraro, Johannes Kästner. Transfer learning for chemically accurate interatomic neural network potentials, Phys. Chem. Chem. Phys., 2023, 25, 5383-5396. doi: 10.1039/D2CP05793J.
D. Häussermann. Dataset, (2023)Related to: Häussermann, D.; Schömig, R.; Gehring, B.; Traa, Y. Influence of the Synthesis Protocol on the Catalytic Performance of PHI-Type Zeolites for the Dehydration of Lactic Acid. Catalysts 2023, 13, 261. doi: 10.3390/catal13020261.